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672 results for “August”
I/Q Recording for 10 Meters During August 21, 2017 Solar Eclipse at W3OA
<p>I/Q Recording for 10 Meters Amateur Band During August 21, 2017 Solar Eclipse<br> Recorded by Richard Williams, W3OA<br> Location was 35 degrees, 34 minutes, 43.55 seconds North; 80 degrees, 56 minutes, 50.80 secondes West<br> Antenna was an 80 meter dipole 50 feet high<br> Receiver was a QS1R</p>
I/Q Recording for 20 Meters During August 21, 2017 Solar Eclipse at W3OA
<p>I/Q Recording for 20 Meters Amateur Band During August 21, 2017 Solar Eclipse<br> Recorded by Richard Williams, W3OA<br> Location was 35 degrees, 34 minutes, 43.55 seconds North; 80 degrees, 56 minutes, 50.80 secondes West<br> Antenna was an 80 meter dipole 50 feet high<br> Receiver was a QS1R</p>
I/Q Recording for 6 Meters During August 21, 2017 Solar Eclipse at W3OA
<p>I/Q Recording for 6 Meters Amateur Band During August 21, 2017 Solar Eclipse<br> Recorded by Richard Williams, W3OA<br> Location was 35 degrees, 34 minutes, 43.55 seconds North; 80 degrees, 56 minutes, 50.80 secondes West<br> Antenna was an 80 meter dipole 50 feet high<br> Receiver was a QS1R</p>
I/Q Recording for 40 Meters During August 21, 2017 Solar Eclipse at W3OA
<p>I/Q Recording for 40 Meters Amateur Band During August 21, 2017 Solar Eclipse<br> Recorded by Richard Williams, W3OA<br> Location was 35 degrees, 34 minutes, 43.55 seconds North; 80 degrees, 56 minutes, 50.80 secondes West<br> Antenna was an 80 meter dipole 50 feet high<br> Receiver was a QS1R</p>
Wideband I/Q Recording at VU2PTT for 160m Ham Radio Band during August 21, 2017 Solar Eclipse in USA
<p>Recorded by Prasad Rajagopal, VU2PTT in Bangalore, India</p> <p>Location: Latitude 12°58'24.8"N, Longitude 77°39'15.7"E</p> <p>Grid Locator: MK82tx</p> <p>Recorded using Skimmer Server & CWSL File</p> <p>Playback: Each time stamped I/Q file is a 15 minute slice and can be played back with HDSDR software</p> <p>Antenna was a full size 1/4 wave vertical on 40m (7 MHz)</p> <p>Receiver was a QS1R SDR capable of simultaneously recording 7 bands @ 192 kHz bandwidth </p>
ThLebee/CoEg: Lettres d'Auguste Mariette (juillet 2025, v. 1,463)
<p>Ajout des lettres à Lepsius (Musées royaux d'art et d'histoire de Bruxelles) et de celles envoyées à Brugsch jusqu'en 1858 (Università degli Studi di Milano, Biblioteca e Archivi di Egittologia).</p>
Digital Elevation Models of Hunga Volcano, Tonga, from the MAX2201 voyage, July-August 2022
<p>This dataset contains digital elevation models (DEM) of the Hunga Volcano complex, These DEM are from the MAX2201 voyage of the USV <i>Maxlimer</i> which surveyed the volcano July-August 2022.</p><p>Hunga Volcano is a volcanic complex near the island of Tongatapu in the Kingdom of Tonga. The volcano rises from ~2,500 m depth, a caldera at its summit, and two islands, Hunga Tonga and Hunga-Ha'apai, at the on the rim of the caldera. An eruption during December 2014-January 2015 was centered between the islands and combined them into one larger structure named Hunga Tonga – Hunga Ha'apai (HTHH). HTHH erupted violently on 15th January 2022, sending large clouds of ash into the atmosphere, triggering a tsunami, and reducing the size of the islands of Hunga Tonga and Hunga Ha'apai. </p><p>As a result of this event, the NIWA-Nippon Foundation Tonga Eruption Seabed Mapping Project (<strong>TESMaP</strong>) is a multidisciplinary research plan involving geological, oceanographic and biological studies that centered around three objectives: </p><ol><li>To determine the impacts of volcanic ash on ocean productivity, species composition, and biogeochemical cycling in the water column.</li><li>To determine the immediate nature and extent of the impact of ash fall/turbidity flows on deep-sea sediments and benthic ecosystems.</li><li>To determine the recovery potential of the deep-sea ecosystem.</li></ol><p>This project involved two survey voyages of the volcano and its surrounding waters. The first was carried out from <i>RV Tangaroa </i>(TAN2206) in April and May 2022 (Mackay et al., 2022) on the flanks of Hunga volcano and its surrounds; and the second was carried out over the summit of Hunga volcano by the <i>USV Maxlimer</i> (MAX2201) in August 2022.</p><p>TESMaP was funded from a combination of sources including The Nippon Foundation, Japan; the Natural Environmental Research Council, UK, Japan Agency for Marine Earth Science and Technology, the Tangaroa Reference Group (TRG) for ship time and the NIWA Oceans Centre. Support was given by The Nippon Foundation Seabed 2030 project and by GEBCO Alumni.</p>
Soil respiration data measured with LI-7810 CH4/CO2/H2O Trace Gas Analyzer in Tangermuende/Germany in August 2022
<p>The dataset is associated with the publication Koschorreck, M., Kamjunke, N., Koedel, U., Rode, M., Schuetze, C., and Bussmann, I.: Diurnal versus spatial variability of greenhouse gas emissions from an anthropogenic modified German lowland river, Biogeosciences Discuss. [preprint], https://doi.org/10.5194/bg-2023-176, in review, 2023. </p> <p>It shows CO2 and CH4 initial concentrations and flux data measured with the LICOR 7810 instrument and calculated with the SoilFluxPro software V5.3.</p>
Stranded marine mammals, sea turtles and seabirds in Paraná and Santa Catarina from August 2018 to August 2023
<p><span class="fontstyle0">To assess the potential impacts from oil and gas production in deep waters of Brazil's Santos Basin, the Brazilian environmental agency (IBAMA) required PETROBRAS, the main oil company in the basin, to implement the "Projeto de Monitoramento de Praias da Bacia de Santos" (Santos Basin Beach Monitoring Project - PMP-BS). This project has been operating along the</span> <span class="fontstyle0">states of Santa Catarina, Paraná, São Paulo, and Rio de Janeiro, since August 2015, collecting data from stranded seabirds, turtles, and marine mammals. This dataset includes records from August 2018 to August 2023, along the Paraná and Santa Catarina coastlines. During this period, 58151 animals of at least 93 species were recorded (883 unidentified animals). From this total, 88.6% were dead and 11.4% alive when first observed. This dataset complements previous ones from the same area, and is a high-intensity monitoring effort essential to understand temporal and geographical variation of stranded animals. This data will allow future works aimed at understanding the impacts of human activities on marine ecosystems and environmental changes over time.</span> <br><br></p>
Costa Rica mosquito community species occurrence and site environmental data, July - August 2017
<p>Land use change is an important driver of both biodiversity loss and zoonotic disease transmission in tropical countryside landscapes. Developing solutions for protecting biodiversity, public health, and livelihoods in working landscapes requires understanding the spatial scales at which habitat characteristics such as land cover shape biodiversity, especially for arthropods that transmit pathogens. A growing body of evidence shows that species richness for many taxa correlates with tree cover at small spatial scales of <100 m, indicating that local tree cover management is a promising conservation tool. To investigate whether mosquito species richness, community composition, and presence of specific disease vector species respond to tree cover—and if so, whether at spatial scales similar to other taxa—we surveyed mosquito communities along a tree cover gradient and across agricultural, residential, and forested land uses in rural southern Costa Rica. We found that tree cover was both positively correlated with mosquito species richness and negatively correlated with the presence of the common invasive dengue vector <em>Aedes albopictus</em>, particularly at small spatial scales of 80 – 200m<em>. </em>Beyond tree cover, land use type predicted community composition and <em>Ae. albopictus </em>presence, but not species richness. The results suggest that preservation and expansion of tree cover at local scales can protect biodiversity for a wide range of taxa and also confer protection against disease vector occurrence.</p>
00407 Berichte aus Liefland. Aus dem Bericht der Brüder Förster u. Scheuerl in Errastfer in Estland von den verbundnen Häuflein im Dörptchen District. Vom August 1805 bis Ende May 1806
<p>Mit den <em><strong>Gemein-Nachrichten</strong></em> stellt das Unitätsarchiv Herrnhut der weltweiten Evangelischen Brüder-Unität - Herrnhuter Brüdergemeine (Unitas Fratrum / Moravian Church) das älteste und umfangreichste Mitteilungsblatt der Brüdergemeine digital zur Verfügung. Es enthält Berichte aus Gemeinden sowie dem Missions- und Diasporawerk der Brüdergemeine sowie Reden und Lebensläufe. Die <em>Gemein-Nachrichten</em> wurden ab 1765 in Fortsetzung des <em>Jüngerhaus-Diariums</em> (1747-1764) ausschließlich handschriftlich vervielfältigt. In Druck gingen 1817 und 1818 die <em>Beyträge aus der Brüder-Gemeine</em> und zwischen 1819 und 1894 die <em>Nachrichten aus der Brüder-Gemeine</em>. Das Nachrichtenblatt fand in den <em>Mitteilungen aus der Brüder-Gemeine zur Förderung christlicher Gemeinschaft</em> ab 1895 bis 1941 seine Fortsetzung.</p> <p>Das hier <strong>vorliegende Datenset</strong> umfasst Transkriptionen nach XML-TEI in verschiedenen Versionierungen und einen normalisierten Text. Die ID bezieht sich auf den <strong>Index</strong> der handschriftlichen Gemein-Nachrichten (<a href="../doi/10.5281/zenodo.8228849">DOI</a>). Metadaten werden nach einem standardisierten <strong>XML-Schema</strong> angelegt (<a href="../doi/10.5281/zenodo.10375427">DOI</a>). Die Dateinamen sind sprechend:<br><br>[ID]_01.xml: Export (XML-TEI) nach Transkription vom Primärdigitalisat</p> <p>[ID]_02.xml: um Metadaten angereichtertes Transkript (XML-TEI) </p> <p>[ID]_03.txt: normalisierter Text zur weiteren Nutzung (z.B. für maschinelle Analysen)</p> <p>[ID]_04.xml: angereichertes Transkript (XML-TEI) mit Metadaten und Glossarannotation</p>
Solar and meteorological data collected from the Reserve Francois Leguat station (Mauritius) by the ENERGY-Lab at the University of La Reunion between May 2017 and August 2024
<p>Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Durban station (South Africa) by the ENERGY-lab at the University of La Reunion between August 2013 and October 2018
<p>Scientific data provided by ENERGY-lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
LPL3 - August 2021
<p>Measurements of LPL3 (Costa este de Madeira) in August 2021</p> <p>Madeira</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL3">info</a></p>
UEX1 - August 2021
<p>Measurements of UEX1 (Universidad Extremadura) in August 2021</p> <p>Universidad Extremadura</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/UEX1">info</a></p>
LPL2 - August 2021
<p>Measurements of LPL2 (PN Caldera de Taburiente) in August 2021</p> <p>El Paso, La Palma</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a></p>
LPL2 - August 2020
<p>Measurements of LPL2 (PN Caldera de Taburiente) in August 2020</p> <p>El Paso, La Palma</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL2">info</a></p>
Fig. 2 in August Wulfhorst (1861-1936) and his overlooked contributions on the flora of Angola
Fig. 2. – Holotype of Wulfhorstia spicata C. DC. (Z000015223), showing original and replacement labels.
Arecibo measurements of D-region electron densities during sunset and sunrise in August 2016
<p>This dataset is connected to the manuscript 'Arecibo measurements of D-region electron densities during sunset and sunrise: implications for atmospheric composition' submitted to Annales Geophysicae.</p> <p>It contains Arecibo radar data between 28. August 2016 and 01.September 2016, specifically power profiles and plasma line measurements. The data files and associated Matlab reading routines can be found in the appropriate .zip files.</p> <p>The data repository contains also processed data for Fig.3 (afternoon/morning_final_data75.mat/plot_sunset_sunrise_comparison75.m) and Fig. 4(rate_data.mat/plotrate.m) and associated Matlab plotting routines.</p>
Water quality dataset from stream water in the Khibiny massif, Kola Peninsula (Russia) in August 2017
<p>The dataset includes base chemistry, elemental concentrations, and sulfur isotope (δ34S_SO4) measurements from 11 stream water sampling locations.</p> <p>The measurements were taken in the Belaya and Vuonnemiok stream systems within the Khibiny massif (Kola Peninsula, Russia) during 25-30th of August 2017 and were analyzed at laboratories at Stockholm University, Sweden.</p> <p>The data was gathered to investigate potential pollution spreading in hydrological pathways from active apatite mining within the catchments, and it can be used for comparison with other mining-impacted sites in the Arctic.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.